Machine Learning Specialist

DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it\ 's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.Our team works on a variety of high-impact machine learning projects, and we are looking for a
Machine Learning Specialist
to join us. In this role you will build critical systems for our machine learning models and have the chance to make great impact to our business. As a member of our team, you will be surrounded by cutting-edge technology and experienced machine learning, data and software professionals providing you with the best possible environment to succeed. You will always have interesting new projects to apply your skillset while also becoming an expert on certain areas.
ResponsibilitiesDesign and implement scalable and performant systems to serve machine learning modelsOptimize training and inference performance of deep learning modelsCreate and maintain feature pipelines, feature stores, model storesMonitor production models and setup retraining infrastructure to improve performanceOptimize models for deployment on different hardware configurationsBuild frameworks to promote scalable and reproducible researchDrive projects and lead new initiativesFacilitate discussions on code implementation, testing, software architecture best practicesActively engage with others on the team to resolve challenging design and coding issuesCollaborate with stakeholders from different departments
QualificationsA bachelor’s or a master’s degree in computer science, software engineering or equivalent5+ years of experience building software for machine learning systemsStrong understanding of machine learning and deep learning conceptsExcellent programming and scripting skillsExperience with building, validating, deploying, monitoring, and updating production modelsExperience with infrastructure and tooling for MLOpsStrong problem-solving and analytical skillsExcellent communication and collaboration skillsExperience with machine learning frameworks such as TensorFlow, PyTorch, TensorRT, ONNXExperience with GPU programming using CUDA, OpenCL or similar librariesExperience optimizing inference performance (quantization, profiling, kernel/runtime tuning, serving engines)Experience with one or more of the following is an asset: distributed systems, multi-threaded programming, hardware/software interaction
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